Abstract
논문투고일:2014년 04월 14일 논문수정완료일:2014년 05월 26일 논문게재확정일:2014년 05월 29일 * 연세대학교 경영대학, 교신저자 ** 연세대학교 경영대학 It is unavoidable to provide products that meet customers' needs and wants so that firms may survive under the competition in this globalized market. This paper focuses on how to provide levels for attributes that compse product so that firms may give the best products to customers. In particular, its main issue is how to determine common attributes and the others with their appropriate levels to maximize firms' profits, and how to construct a decision support system to ease decision makers' decisons about optimal common attribute selection using the Semantic Web and SWCL technologies. Parameter data in problems and the relationships in the data are expressed in an ontology data model and a set of constraints by using the Semantic Web and SWCL technologies. They generate a quantitative decision making model through the automatic process in the proposed system, which is fed into the solver using the Logic-based Benders Decomposition method to obtain an optimal solution. The system finally provides the generated solution to the decision makers. This presentation suggests the opportunity of the integration of the proposed system with the broader structured data network and other decision making tools because of the easy data shareness, the standardized data structure and the ease of machine processing in the Semantic Web technology. Keyword:Product Design, the Semantic Web, SWCL, Decision Support System 韓國IT서비스學會誌 第13卷 第2號 2014年 6月, pp.133-149
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